Evidence map›Paper›PMID 36969936›Full record

ArticleEcology and evolution2023

Liverworts show a globally consistent mid-elevation richness peak.

Karola Maul, Yu-Mei Wei, Eka Aditya Putri Iskandar, Sahut Chantanaorrapint, Boon-Chuan Ho, Dietmar Quandt, Michael Kessler

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Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Evidence of Antiproliferative Activity in the LiverwortMolecules (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Karola MaulNees Institute for Biodiversity of Plants University of Bonn Bonn Germany.ORCID https://orcid.org/0000-0001-6800-2692
Yu-Mei WeiGuangxi Key Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences Guilin China.
Eka Aditya Putri IskandarUnderstanding Evolution Research Group Naturalis Biodiversity Centre Leiden The Netherlands.
Sahut ChantanaorrapintDivision of Biological Sciences, Faculty of Science Prince of Songkla University Hat Yai Thailand.
Boon-Chuan HoSingapore Botanic Gardens National Parks Board Singapore Republic of Singapore.
Dietmar QuandtNees Institute for Biodiversity of Plants University of Bonn Bonn Germany.
Michael KesslerSystematic and Evolutionary Botany University of Zurich Zurich Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of elevational gradients allows to draw conclusions on the factors and mechanisms determining patterns in species richness distribution. Several earlier studies investigated liverwort diversity on single or few elevational transects. However, a comprehensive survey of the elevational distribution patterns of liverwort richness and their underlying factors is lacking so far. This study's purpose was to fill this gap by compiling an extensive data set of liverwort elevational patterns encompassing a broad diversity of mountains and mountain ranges around the world. Using polynomial regression analyses, we found a prevalence of hump-shaped richness patterns (19 of 25 gradients), where liverwort species richness peaked at mid-elevation and decreased towards both ends of the gradient. Against our expectation and unlike in other plant groups, in liverworts, this pattern also applies to elevational gradients at mid-latitudes in temperate climates. Indeed, relative elevation, calculated as the percentage of the elevational range potentially inhabited by liverworts, was the most powerful predictor for the distribution of liverwort species richness. We conclude from these results that the admixture of low- and high-elevation liverwort floras, in combination with steep ecological gradients, leads to a mid-elevation floristic turnover shaping elevational patterns of liverwort diversity. Our analyses further detected significant effects of climatic variables (temperature of the warmest month, potential evapotranspiration, and precipitation of the warmest month) in explaining elevational liverwort richness patterns. This indicates that montane liverwort diversity is restricted by high temperatures and subsequent low water availability especially towards lower elevations, which presumably will lead to serious effects by temperature shifts associated with global warming.

Indexed as

climatic predictorsdiversity gradientselevationliverworts

Identifiers

PMID36969936
PMCPMC10034488

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